The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 09, 2024

Filed:

Jun. 15, 2021
Applicant:

Institute of Automation, Chinese Academy of Sciences, Beijing, CN;

Inventors:

Zhaoxiang Zhang, Beijing, CN;

Tieniu Tan, Beijing, CN;

Chunfeng Song, Beijing, CN;

Wenkai Dong, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 40/10 (2022.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/2148 (2023.01); G06F 18/2193 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 20/40 (2022.01); G06V 40/103 (2022.01);
Abstract

A bi-directional interaction network (BINet)-based person search method, system, and apparatus are provided. The method includes: obtaining, as an input image, a tframe of image in an input video; and normalizing the input image, and obtaining a search result of a to-be-searched target person by using a pre-trained person search model, where the person search model is constructed based on a residual network, and a new classification layer is added to a classification and regression layer of the residual network to obtain an identity classification probability of the target person. The method improves the accuracy of the person search.


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